connection weights vs overall connection weights

Both phrases are correct, but they are used in slightly different contexts. 'Connection weights' refers to the individual weights assigned to connections in a network, while 'overall connection weights' refers to the collective sum or average of all connection weights in a network.

Last updated: March 17, 2024 • 968 views

connection weights

This phrase is correct and commonly used in the context of neural networks or machine learning to refer to the strength of connections between nodes.

This phrase is used to describe the individual weights assigned to connections between nodes in a network, such as in neural networks or machine learning models.

Examples:

The neural network adjusts the connection weights during training to improve performance.
The accuracy of the model depends on the optimal selection of connection weights.

Show examples from the web [+]

Learning always involves modifying the connection weights. In general, these involve mathematical formulas to determine the change in weights when given ...
Connection weights (sometimes also called 'connection strengths') are positive or negative real numerical values. The amount of input a particular connection ...
Mar 1, 2011 ... I would guess that training tends to pulls a lot of connection weights down to zero (for non-informative features) and pushes a few away (for the ...
Interpreting neural-network connection weights, 1991 Article. Bibliometrics Data Bibliometrics. · Downloads (6 Weeks): n/a · Downloads (12 Months): n/a

Alternatives:

link weights
edge weights
synaptic weights
weight values
connection strengths

overall connection weights

This phrase is correct and is used to refer to the collective sum or average of all connection weights in a network.

This phrase is used when discussing the combined impact of all connection weights in a network, providing a holistic view of the network's connectivity.

Examples:

The overall connection weights determine the network's behavior.
By analyzing the overall connection weights, researchers can gain insights into the network's functioning.

Show examples from the web [+]

tion test using relative importance (derived from. Garson's algorithm) differ from the results using overall connection weights. Using Garson's al- gorithm, surface ...
i) overall connection weights method ii) Garson's method iii) The partial derivatives methods iv) The Input Perturb method v) the classical stepwise methods.
ABSTRACT With the growth of statistical modeling in the ecological sciences, researchers are using more complex methods, such as artificial neural networks ...
Dec 21, 2009 ... All the individual weights were recorded and the connection weights and the overall connection weights for each input were calculated.

Alternatives:

aggregate connection weights
total connection weights
cumulative connection weights
sum of connection weights
average connection weights

What Our Customers Are Saying

Our customers love us! We have an average rating of 4.79 stars based on 283,125 votes.
Also check out our 2,100+ reviews on TrustPilot (4.9).

"Thank you!"
Sachi Nakama July 2024
"I have literally been through chat, PI, claude, bard and bing and I got conflicting answers! Thank you! Human intelligence reigns!"
Retha July 2024
"Faster than AI"
CYNTHIA December 2023
"This was very helpful and I personally think this site is the best."
Kaden October 2023
"It was extremely thorough and very helpful!"
imperialelisa October 2023
"7 years without any disappointment. Always 100% satisfied. You guys are the best in the world at what you do. Thank you so much :)"
Zubair Alam October 2023
"In a world of text messages and online communication, this is great to have as a live tool. Thank you."
Selena October 2023
"Without textranch I would be stuck!"
宏祐 October 2023
"Accuracy and fast response. Personal comments from editor. Thank you."
Clh September 2023
"I wasn't aware of this service, it's fascinating and more reliable than standard IA tools available on the internet"
Arturo September 2023
"The fact that you can get reliable fast feedback on your texts."
Vinicius Antonio August 2023
"you guys are better than grammarly i'm being honest here"
ordinary July 2023
"OMG! This is really good than any other text correction tools I've used so far. Highly recommend this."
Vehan July 2023
"Very fast and accurate. thank you."
mojtaba July 2023
"I love this app because it's help to writing skills all of students ♥️"
Tarisini July 2023
"This was exactly the mistake I was looking for, the wording dind´t sound right at first. Better than grammarly!"
Ente July 2023
"The immediate help that I received was reassuring and very satisfactory. Thanks."
priiiyanshuu July 2023
"this helps A LOT for my studies."
kathnunez02 June 2023
"Woow!! I would never have expected such precision! Thank you soooo much!!"
Berta June 2023
"Real Time Editor and not AI. Many Thanks."
Priya June 2023
"The very first thing excites me about Textranch is how much your editors care."
sepideh June 2023
"The fact that texts are checked by human editors rather than by AI, etc. I appreciate this!"
Анна June 2023
"Feel welcome, immediate response, high quality feedback"
martin.roy June 2023
"This is the best app that I have ever seen"
Burulai May 2023

connection weights vs overall connection weights